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Computers that learn for themselves are with us now. As they become more common in ‘high-stakes’ applications like robotic surgery, terrorism detection and driverless cars, researchers ask what can be done to make sure we can  trust them.

Artificial intelligence has the power to eradicate poverty and disease or hasten the end of human civilisation as we know it – according to a speech delivered by Professor Stephen Hawking this evening.

̽��ֱ��digital revolution is one of the great social transformations of our time. How can we make the most of it, and also minimise and manage its risks? Jon Crowcroft and John Thompson discuss the challenges as we commence a month-long focus on ‘digital society’.

A web-based machine language system solves crossword puzzles far better than commercially-available products, and may help machines better understand language. 

Researchers have built the first biologically realistic mathematical model of how the brain plans and learns when faced with a complex decision-making process.

̽��ֱ��annual two-week Festival, which runs from 7 – 20 March and stages more than 300 events, examines the growing interaction between humans and technology.

Two technologies which use deep learning techniques to help machines to see and recognise their location and surroundings could be used for the development of driverless cars and autonomous robotics – and can be used on a regular camera or smartphone. 

Fumiya Iida (Department of Engineering) discusses the "mother" robot he has built with his colleagues, and why reacting to developments in robotics with undue fear could stifle research and creativity.

̽��ֱ�� ̽��ֱ�� of Cambridge is launching a new research centre, thanks to a £10 million grant from the Leverhulme Trust, to explore the opportunities and challenges to humanity from the development of artificial intelligence. 

Researchers have observed the process of evolution by natural selection at work in robots, by constructing a ‘mother’ robot that can design, build and test its own ‘children’, and then use the results to improve the performance of the next generation, without relying on computer simulation or human intervention.